The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 18, 2019

Filed:

Mar. 03, 2017
Applicant:

Futurewei Technologies, Inc., Plano, TX (US);

Inventors:

Wei Jiang, Santa Clara, CA (US);

Wei Wang, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); B25J 9/16 (2006.01); G06K 9/32 (2006.01); H04N 7/18 (2006.01); G06K 9/20 (2006.01);
U.S. Cl.
CPC ...
B25J 9/1697 (2013.01); G06K 9/00664 (2013.01); G06K 9/3233 (2013.01); G06K 9/627 (2013.01); G06K 9/6248 (2013.01); G06K 9/6255 (2013.01); G06K 9/6256 (2013.01); G06K 9/2027 (2013.01); G06K 9/6269 (2013.01); H04N 7/185 (2013.01);
Abstract

A method for fine-grained object recognition in a robotic system is disclosed that includes obtaining an image of an object from an imaging device. Based on the image, a deep category-level detection neural network is used to detect pre-defined categories of objects. A feature map is generated for each pre-defined category of object detected by the deep category-level detection neural network. Embedded features are generated, based on the feature map, using a deep instance-level detection neural network corresponding to the pre-defined category of the object, wherein each pre-defined category of an object comprises a corresponding different instance-level detection neural network. An instance-level of the object is determined based on classification of the embedded features.


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